Measure, don't guess: Python benchmarking and performance tuning

Taking a real-world toy project as motivation and example, we'll
cover best practices and tools for profiling and benchmarking Python
code. Then, we'll talk about ways of speeding up code, with a particular
emphasis on multiprocessing and multi-threading, including funny
pitfalls.

The talk will mainly revolve around parallelization using the
standard library. There is a lot more stuff to cover such as PyPy,
Cython, f2py or mpi4py, so experts on those topics are welcome to
chime in!